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THE DEPARTMENT OFELECTRICAL AND COMPUTER ENGINEERINGJoseph Picone, PhDProfessor and Chair, Department of Electrical and Computer EngineeringCollege of EngineeringTemple University

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Outline:ECE At a GlanceGraduate Program OverviewResearch ClustersCollaborationsFacilitiesResearch LabsCollege of Engineering0ECE at a GlanceAreaFullAssocAssistBiomedical11Intelligent Systems311Controls311Devices and Materials11Energy1TrackFullAssocAssistTotalTT64212NTT0101Res.1001Adj.9Staff2TOTAL25Faculty By Rank:Faculty By Area of Specialization:Three degree options: EE, CpE, BioEStudents By Degree Option (08-09):DegreeEnrolledGraduatedBS: EE CpEBioE210195150231850MS: EE CpEBioE605802201901PhD: EE CpEBioE107031100Total:28044Rowan University: Slide #ECE Graduate ProgramComputer Engineering5612: Advanced Microprocessor Systems 5516: Intro. Communication Networks 5622: Intro. Computer Architecture8516: Performance of Communications Ntwks8622: Advanced Computer Architectures9622: Parallel Processing ArchitecturesControls5412: Control System Analysis8412: Optimal & Robust Control8414: Adaptive Control8512: Signal Processing and Control Theory9412: Nonlinear Control SystemsIntelligent Systems5712: Intelligent Multimedia Systems5714: Intro. Intelligent SystemsMicroelectronics5314: Microelectronics5324: VLSI Systems Design8324: Mixed Signal VLSI Design8334: Nano Applications, MEMS and NEMS9324: VLSI Phys. DesignSignal Processing and Communications5512: Analog and Digital Communication 5514: Digital Signal Processing 8514: Digital Signal Processing 8524: Speech Signal Processing8999: Electro-optics 9512: Detection Estimation 9514: Adaptive Signal Processing 9524: Digital Image ProcessingClustered into three general areas: Signals, Controls and Hardware.All students are required to take four core courses: Engineering Analysis (5022), Probability and Random Processes (5033), Digital Signal Processing (5514) and Introduction to Computer Architectures (EE 5622 ).Rowan University: Slide #

Research ThrustsIntelligent Systems: multi-agent systems, tutoring systems, human language technology

Devices and Interfaces: system chip design, FPGAs, brain-machine interfacesSensors, Imaging and Control: navigation, game theory, thermal imaging, signal restorationRowan University: Slide #FacilitiesLaboratory Space:TypeSqftOffices2,966Instructional Labs5,303Research Labs3,565TOTAL11,834Unique Capabilities:Universal Virtual LabNeural Instrumentation LaboratoryMulti-agent Systems Test LabSystem Chip DesignRobotics and Atmospheric TestingImage Processing System DevelopmentSensors, Networks and DevicesSpeech Processing

Rowan University: Slide #Collaborative ActivitiesResearch Expenditures: $453K (2008-09)Major Sponsors: Air Force, Boeing, Department of Defense, Exxon Mobil, National Institute of Health, National Science Foundation, NAVAIR, Naval Research Laboratory, Oakridge National LaboratoryMajor Internal Collaborators: College of Health Professions, College of Science and Technology, Fox Business School, School of DentistryMajor External Collaborators: The Mount Sinai School of Medicine, The Fox Chase Cancer Center, The Pennsylvania Department of Health, University of Tennessee, University of Pennsylvania, Drexel University, Villanova University, Rowan UniversityOutreach: Montgomery County (PA) Community College, High School of Engineering and Science, Council Rock HS North/South, Springfield (Delaware County, PA) HS; Developing NSF REU Site proposalMajor Industrial Partners: The Navy Shipyards, Lockheed Martin, Boeing, Exxon Mobil, Southeastern Pennsylvania Transit Authority (SEPTA)Professional Development: Hosting the 2010 IEEE Student Activities Conference, ASEE workshops on computer engineering and communicationsRowan University: Slide #Future PlansFive-Year Plan:Increase research expenditures to $5M/yr. ($300K/faculty x 18 faculty)Increase faculty size to 18 to accommodate growth in researchIncrease total space to 30,000 sqft (including new research space)Moderate growth in UG enrollment (10% per year)Significant growth in the PhD program (50 PhD students in 2015)Approach:Differentiate the department through focus and collaborationPursue major research center and institute initiativesImprove relationships with local industryCreate regional partnerships with major state universitiesPotential areas of focus:Environment and sustainabilityIntelligence and cybersecurityRenewable energyRowan University: Slide #Specialized Infrastructure, Facilities, Systems:Interactive 3D simulation environment designWidely used image processing and modeling softwareCommunication prototyping with HSPA (3G+) and Bluetooth wirelessClose collaboration with the Office of Naval Research (ONR), South Eastern Pennsylvania Transportation Authority (SEPTA) and ExxonMobil

Mission: CFLisa research group thatfocuses on cutting edge technology and promotesfundamental theoriesin computer and data security, communication and information processes.Our work focuses on areas ranging from military applications and sensor systems to transportation and oil refinery applications.

Initiative for Computer Fusion Laboratory

Expertise:Dynamic data and model Analysis of large scale systemsIntelligent system design using Multi-Agent systemsEmbedded wireless sensor networksInformation assurance and data securityLevel 2+ information fusion Software development for mobile and handheld platformsStochastic process video trackingImage steganographic processingSystem reliability, fault detection and prognostics

Impact:Flexible electronic mobile ticketing and payment platformLarge-scale, dynamic autonomous monitoringEfficient and Robust target tracking and trajectory estimation processesDistributed computation for secure, reliable mobile wireless devicesAdvanced system integration with open source software and COTS productsSecure information archiving and access control using distributed information hiding

Control, Sensor, Network, and Perception (CSNAP) LaboratoryDirector: Chang-Hee WonElectrical and Computer Engineering, Temple University, Engineering Building 703

Mission: To advance the areas of control and sensor systems and apply to real world applications.

Control System Theory:Statistical Optimal ControlGame TheoryMinimal Cost Variance ControlRisk-Sensitive ControlApplications:Satellite ControlNavigation Data FusionBuilding ControlParafoil ControlSpace Robotics Sensors:Navigation SensorsTactile SensorsRemote SensingHyperspectral Sensor

Registration and Fusion of Visible and Thermal IR Images

Mission: To improve the overall performance of face recognition in extremely challenging situations like when there is no control over illumination, face is partially occluded or disguised.Method:When the dependency between two images are the maximum, two images are registered. Edge-based Mutual Information is used to measure the dependency between two images. By fixing one image and transforming another one, we can maximize the Edge-based Mutual Information, thus register two images.After registration, wavelet transform is used to fuse both visible and thermal IR images.Applications:Personal identification in illuminant variant conditions like physical access control (smart doors)Security cameras in uncontrolled illumination conditions ( like at airport, ATM machine, company)A non-invasive way for anti-terrorist action (disguised face detection)

Rgistration and Fusion:Performance of face recognition using visible images drops dramatically in uncontrolled illumination conditions. Thermal IR sensors are robust to illumination changes but not robust to glass.Registration and fusion of visible and thermal IR images can provide useful information from both images, thus increases the performance of face recognition in challenging situations.Imaging and Pattern Recognition LabTemple University

Method:

Registration and Fusion:

Applications:

Registration & Fusion

ImpactsMultiscale Restoration of Terahertz Signals for Atmospheric Degradation Correction

Mission: To remove atmospheric degradation from terahertz (THz) spectroscopic measurements by utilizing multiband signal restoration techniqueMultiband signal restoration for atmospheric degradation removalIndependent filtering for low and high frequencyMultiple filtering approach: DWT, Artificial neural networks, and Wiener filteringWater vapor signature model free approach

Can apply this technique to make THz spectometer to real world applicationsLow cost system development: Low-power laser source is acceptableLonger THz measurements in dangerous environment (e.g. Explosive detection from a distance)Longer range THz communication Imaging and Pattern Recognition LabTemple University

MethodAtmospheric Degradation

RestorationfilteringStrong atmospheric attenuation in THz range occurs in normal atmospheric conditionsAtmospheric attenuation: caused by water vaporShorter range observation is only possible without atmospheric degradation removalLimited THz application: Requires atmosphere without water vaporHigh-powered laser source is requiredBrian P. Butz, Ph.D./Intelligent Tutoring SystemsIntelligent Systems Application Center, Temple University, (215)-204-7212, bpbutz@temple.eduApplicationsTechnical Approach The Intelligent Systems Application Center creates, develops, implements and assesses intelligent, interactive and innovative computer-based educational software. The intelligent tutoring systems (ITS) that are created help users in diverse fields of learning. Current ITSs help individuals learn engineering principles, scientific methodologies and about alternative treatments for prostate cancer. The Center also develops and uses techniques to assess the usability and effectiveness of its software.. The Interactive Multimedia Intelligent Tutoring System. A tutoring system for a two semester sequence in basic circuits for sophomore engineering students.The Universal Virtual Laboratory. A virtual circuits lab for physically disabled and able students.The Prostate Interactive Education System. A virtual health center to assist men diagnosed with early stage prostate cancer make treatment decisions.Interactive Virtual Intelligent System for Scientific Inquiry in a Biology Learning Environment . A virtual environments that enables high school students learn and apply the scientific method.Some Collaborations08/12/09Temple UniversitysFox school of Business and ManagementCollege of EducationCollege of Health ProfessionsRowan UniversityDrexel UniversityMontgomery County (PA) Community CollegeLocal PA High SchoolsThe Fox Chase Cancer Center (FCCC)The Mount Sinai (NY) School of MedicineThomas Jefferson College of MedicineThe Wellness Community

Neural Instrumentation LabPI: Dr. Iyad Obeid

Mission: To fundamentally enhance capabilities for recording, manipulating, and decoding neural signals in real-time through signal processing technology.

Specialized Infrastructure, Facilities, Systems:System infrastructure for modeling various neural signal processing approachesFunctional closed-feedback model of adaptive neural circuitry (hybrid robotic/computational)Rapid prototyping and development of programmable hardware instrumentation (with Temples System Chip Design Center)Impact:Establish optimal approaches for information extraction and estimation in real-time brain machine interfacesDevelop real-time processing strategies for multichannel neural signal processingEnhance real-world rehabilitative capabilities of brain-machine interfacesDevelop tools for decoding the language of neural signals

Expertise:Brain Machine InterfacesBiomedical signal processingBiomedical instrumentationNeural EngineeringNeural Systems ModelingAdaptive neural signal decodingSignal processing in customizable programmable hardware

System Chip Design Laboratorywww.temple.edu/scdcMission: To facilitate the rapid design of complex digital systems, digital signal and image processing, digital communications, and advanced processor systems in field programmable gate array (FPGA) reconfigurable architectures utilizing behavioral analysis and synthesis.Specialized Infrastructure, Facilities, Systems:Xilinx Integrated Synthesis Environment (ISE)Xilinx Spartan and Virtex FPGA target hardwareMATLAB/Xilinx System Generator for hardware in the loop designXilinx ChipScope latency and functional verificationXilinx LogiCORE application and developmentXilinx soft core processors and peripheralsImpact:Low power, real-time digital signal processing in reconfigurable FPGA architecturesCost effective replacement of discrete microprocessor and peripheral systems with FPGA system-on-chipProfessionals with experience in digital signal processing and communications and FPGA hardware

Expertise:Digital communication systems: MIMO, channel equalization, synchronization, Turbo codingAlgorithm transformation to parallel processing architecturesHigh-speed (Xilinx RocketIO) data communicationSoftware defined radio and cognitive radio developmentMultiple channel neural signal correlation and processing

Information and Signal Processing

Mission: Automated extraction and organization of information using advanced statisticalmodels to fundamentally advance the level of integration, density, intelligence and performance of electronic systems. Application areas include speech recognition, speech enhancement and biological systems.

Impact:Real-time information extraction from large audio resources such as the InternetIntelligence gathering and automated processingLarge-scale autonomous monitoring in a rapid deployment, zero-installation cost frameworkNext generation biometrics based on nonlinear statistical modeling of signals Expertise:Speech recognition and speaker verification for homeland security applicationsMetadata extraction for enhanced understanding and dialogIntelligent systems and machine learningWireless communications for intelligent transportation systemsComputer and communications networking

Y-AxisX-Axisxf(x)f(x)f(x)xx3rd cumulant < 03rd cumulant > 0mu1mu2mu1 < mu2sigma2sigma1sigma1 < sigma21st Cumulant Variation (mean)2nd Cumulant Variation (variance)3rd Cumulant Variation (skewness)